非支配解集的质量评价方法

On Measuring the Quality of Non-dominated Set of solution

多目标演化算法的目的是获得逼近Pareto最优前沿的分布均匀的非支配解集合,非支配解集的质量是多目标演化算法研究的重要领域.本文对目前提出的非支配解集的质量评价方法进行分类比较,为算法的整体性能评价和算法的性能比较提供了参考依据.

Multi - objective evolutionary algorithms are used to find the non- dominated set of solution and distribute them uniformly in the Pareto front. The quality of non- dominated set of solution is important for studying the performance of multi -objective evolutionary algorithms. In this paper rome proposed metrics measuring the quality of non - dominated solutions are classified and analyzed in order to provide references for assessment and comparison of performance of the algorithms.